Triple
T17716952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont station (BART) |
E442223
|
entity |
| Predicate | hasTypeOfServicePattern |
P849
|
FINISHED |
| Object | terminating and through services |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: terminating and through services | Statement: [Fremont station (BART), hasTypeOfServicePattern, terminating and through services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfServicePattern Context triple: [Fremont station (BART), hasTypeOfServicePattern, terminating and through services]
-
A.
hasServiceType
chosen
Indicates that an entity is associated with or categorized by a particular type of service.
-
B.
hasServicePatternRole
Indicates that an entity participates in a service pattern with a specific functional role or responsibility within that pattern.
-
C.
hasRegularServicePattern
Indicates that an entity consistently follows a defined, recurring schedule or pattern of service over time.
-
D.
hasPeakServiceType
Indicates that an entity is associated with a specific type or category of service provided during peak periods.
-
E.
appliesToServiceType
Indicates that something is relevant or applicable specifically to a particular type or category of service.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.